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tensorflow/c/c_api_experimental.cc
// These XLA flags are needed to trigger XLA properly from C (more generally // non-Python) clients. If this API is called again with `enable` set to // false, it is safe to keep these flag values as is. tensorflow::MarkForCompilationPassFlags* flags = tensorflow::GetMarkForCompilationPassFlags(); flags->tf_xla_cpu_global_jit = true; flags->tf_xla_min_cluster_size = 1; } else {
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CONTRIBUTING.md
bazel by doing as follows: ```bash export flags="--config=opt -k" ``` If the tests are to be run on the GPU, add CUDA paths to LD_LIBRARY_PATH and add the `cuda` option flag ```bash export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH" export flags="--config=opt --config=cuda -k" ```
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tensorflow/c/c_api_experimental.h
// // Use in tests to allow XLA to fallback to TF classic. This has global effect. TF_CAPI_EXPORT unsigned char TF_SetXlaEnableLazyCompilation( unsigned char enable); TF_CAPI_EXPORT unsigned char TF_SetTfXlaCpuGlobalJit(unsigned char enable); // Sets XLA's auto jit mode according to the specified string, which is parsed // as if passed in XLA_FLAGS. This has global effect.
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tensorflow/c/BUILD
"//tensorflow/core:lib_internal", "//tensorflow/core:op_gen_lib", "//tensorflow/core:protos_all_cc", "//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", "//tensorflow/core/distributed_runtime:server_lib", "//tensorflow/core/kernels:logging_ops", "@com_google_absl//absl/strings", ], }),
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tensorflow/c/eager/BUILD
hdrs = ["tape.h"], visibility = ["//tensorflow:internal"], deps = [ "//tensorflow/core:framework", "//tensorflow/core:lib", "//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", ], ) filegroup( name = "headers", srcs = [ "c_api.h", "c_api_experimental.h", "dlpack.h", ],
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tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
memcpy(buffer + copy_size, gcs_file->buffer.data(), remaining_copy); copy_size += remaining_copy; } if (copy_size < n) { // Forget the end-of-file flag to allow for clients that poll on the // same file. gcs_file->buffer_end_is_past_eof = false; TF_SetStatus(status, TF_OUT_OF_RANGE, "Read less bytes than requested"); return copy_size; }
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tensorflow/c/eager/c_api.h
// be attached. It is intended for use with TFE_OpGetFlatInput to inspect an // already-finalized operation. // // Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat // sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a // particular named input list, which may only be part of the op's inputs). TF_CAPI_EXPORT extern int TFE_OpGetFlatInputCount(const TFE_Op* op,
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README.md
A smaller CPU-only package is also available: ``` $ pip install tensorflow-cpu ``` To update TensorFlow to the latest version, add `--upgrade` flag to the above commands. *Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and [tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*
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tensorflow/c/eager/c_api_experimental.cc
#include "tensorflow/c/eager/c_api_experimental.h" #include <cstdint> #include <memory> #include <utility> #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/strings/match.h" #include "absl/time/time.h" #include "tensorflow/c/c_api.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/eager/tfe_context_internal.h"
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tensorflow/c/eager/tape.h
// maintains the data structures required to do so. #include <stack> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h" #include "tensorflow/core/framework/tensor_shape.h" #include "tensorflow/core/framework/types.h" #include "tensorflow/core/lib/gtl/array_slice.h" #include "tensorflow/core/lib/gtl/cleanup.h"
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